Software Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED

Analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), OpenAI, AWS Bedrock, EX, AWS Amplify, React, cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), Scrum, Kanban, Jira, Confluence, Git, GitLab, Hugging Face, Bailo (or similar), object-oriented languages (Python and Java), PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

Required:

• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• Eight (08) years of direct/relevant experience.
• Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
• Supports the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment.
• Experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy.
• Integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build intuitive front-end experiences using technologies like EX, AWS Amplify, and React.
• Hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
• Must be highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar), and demonstrate a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.
• Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
• Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
• Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.

These Qualifications Would be Nice to Have:

• Knowledge of customer corporate tools and data repositories.